Salud y calidad de vida

Linear Models, Variable Selection, Artificial Intelligence

- Variable selection in linear regression models has been a problem since hypothesis testing began. Which variables to include or exclude from a model is not an easy task. Techniques such as Forward,...

A Scale-Shape Dual Newton Method for Entropic Least Squares

- We give a damped inexact Newton method for entropy-regularized least-squares on the nonnegative orthant that converges globally at a linear rate with $O(\log\epsilon^{-1})$ iteration complexity,...

Unsafe and Unused? A History of Utility Code in Mature Open Source Projects

- Filenames are a concise means of conveying information about source code to fellow developers. One such convention is util. Commonly understood to stand for "utility", filenames with the...

The Origins of MEV: Systematic Attribution of Arbitrage Opportunity Creation at Scale

- Maximal Extractable Value (MEV) represents billions of dollars in extracted value that fundamentally shapes blockchain network dynamics and participant incentives. While research has focused on MEV...

Differentiable latent structure discovery for interpretable forecasting in clinical time series

- Background: Timely, uncertainty-aware forecasting from irregular electronic health records (EHR) can support critical-care decisions, yet most approaches either impute to a grid or sacrifice...

Simulating clinical interventions with a generative multimodal model of human physiology

- Understanding how human health changes over time, and why responses to interventions vary between individuals, remains a central challenge in medicine. Here we present HealthFormer, a decoder-only...

AI Inference as Relocatable Electricity Demand: A Latency-Constrained Energy-Geography Framework

- AI inference is becoming a persistent and geographically distributed source of electricity demand. Unlike many traditional electrical loads, inference workloads can sometimes be executed away from...

Multi-Level Narrative Evaluation Outperforms Lexical Features for Mental Health

- How people narrate their experiences offers a window into how the mind organizes them. Computational approaches to therapeutic writing have evolved from lexical counting to neural methods, yet remain...

On the Expressive Power of GNNs to Solve Linear SDPs

- Semidefinite programs (SDPs) are a powerful framework for convex optimization and for constructing strong relaxations of hard combinatorial problems. However, solving large SDPs can be...

Why Self-Supervised Encoders Want to Be Normal

- We develop a geometric and information-theoretic framework for encoder-decoder learning built on the Information Bottleneck (IB) principle. Recasting IB as a rate-distortion problem with...

GourNet: A CNN-Based Model for Mango Leaf Disease Detection

- Mango cultivation is crucial in the agricultural sector, significantly contributing to economic development and food security. However, diseases affecting mango leaves can significantly reduce both...

Consumer Attitudes Towards AI in Digital Health: A Mixed-Methods Survey in Australia

- AI applications are increasingly being introduced into digital health. While technical performance has advanced rapidly, successful deployment mainly depends on consumer attitudes, especially to...

Towards an Ethical AI Curriculum: A Pan-African, Culturally Contextualized Framework for Primary and Secondary Education

- Artificial intelligence (AI) is now embedded in educational, civic, and economic systems worldwide. For African primary and secondary education, this creates a double imperative: to prepare a young...

Green Physics-Informed Machine Learning Models For Structural Health Monitoring

- Machine learning continues to emerge as an important tool to be utilised within structural engineering and structural health monitoring, due to its ability to accurately and quickly perform both...

Robust Lightweight Crack Classification for Real-Time UAV Bridge Inspection

- With the widespread application of Unmanned Aerial Vehicles (UAVs) in bridge structural health monitoring, deep learning-based automatic crack detection has become a major research focus. However,...

Waveform Relaxation for Field/Circuit Coupled DAEs with Generalized Capacitances

- Field/circuit coupling is a common approach when a lumped representation of a certain electrotechnical device is not accurate enough. To exploit existing code and underlying properties of the coupled...

Privacy-Preserving Federated Learning via Differential Privacy and Homomorphic Encryption for Cardiovascular Disease Risk Modeling

- Protecting sensitive health data while enabling collaborative analysis is a central challenge in healthcare. Traditional machine learning (ML) requires institutions to pool anonymized patient...

Thinking like a business: Reconfiguring relationships to sustain open data infrastructures

- Sustaining open data infrastructures over time is a complex puzzle, involving dynamic funding models and relationships with customers, collaborators, and competitors. Despite their importance, these...

From Elastic to Viscoelastic: An EEMD-Enhanced Pulse Transit Time Model for Robust Blood Pressure Estimation

- Cuffless blood pressure (BP) estimation based on Pulse Transit Time (PTT) has emerged as a promising solution for continuous health monitoring. However, conventional models relying on the...

Beyond One-Size-Fits-All Exercises: Personalizing Computer Science Worksheets with Large Language Models

- Large Language Models (LLMs) have been widely applied to student-facing educational tools, this work explores their use in supporting instructors by presenting a practical adaptation of the Framework...

Multi-element Persuasion in Social Media Health Communication: Synergistic and Trade-off Effects

- Health messages on social media are typically constructed through combinations of source cues, appeals, frames, and evidence, which jointly shape communication and persuasive effects. However, prior...